{"id":"W2044851123","doi":"10.5555/2447556.2447671","title":"Communicating affect via flight path: exploring use of the laban effort system for designing affective locomotion paths","year":2013,"lang":"en","type":"article","venue":"Human-Robot Interaction","topic":"Human Motion and Animation","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Robot; Human–computer interaction; Motion (physics); Computer science; Perception; Set (abstract data type); Affect (linguistics); Leverage (statistics); Artificial intelligence; Psychology; Communication","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001334124,0.0006959391,0.000196379,0.0003423129,0.0004564649,0.0009666778,0.0007387727,0.0006237407,0.004996857],"category_scores_gemma":[0.005119642,0.0002574565,0.0002918154,0.000132715,0.0007587221,0.00129345,0.00125634,0.0003879631,0.0008052898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003349753,"about_ca_system_score_gemma":0.0002504096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004269886,"about_ca_topic_score_gemma":0.001038146,"domain_scores_codex":[0.9994171,0.0003591999,0.000030203,0.00008169677,0.00007816606,0.00003362419],"domain_scores_gemma":[0.9980102,0.001318878,0.0001199397,0.0002436195,0.0001849613,0.0001223331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001196133,0.001108761,0.01432122,0.001260635,0.00009755605,0.001696307,0.03162315,0.02239959,0.5562316,0.02066609,0.006216889,0.3431821],"study_design_scores_gemma":[0.0005748257,0.005528899,0.03363312,0.0004820373,0.0004143915,0.002574596,0.0127127,0.461136,0.2842344,0.01949566,0.1787244,0.0004889743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4289721,0.0001404123,0.54459,0.0004429898,0.00007302062,0.0007316564,0.0001252572,0.003333585,0.02159104],"genre_scores_gemma":[0.7187616,0.0001063777,0.2735644,0.0001939692,0.00001826649,0.000642976,0.0001354822,0.0003048387,0.006272276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004996857,"threshold_uncertainty_score":0.01671618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1049194534575772,"score_gpt":0.2813084587245396,"score_spread":0.1763890052669624,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}